Based on this YouTube video's total view count of 738K views and industry-standard rates, the estimated total earning is $517 - $1.47K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Andrej Karpathy Just 10x’d Everyone’s Claude Code with 738,193 views, 15,726 likes, and 592 comments. Experience the impact of this video content that has captured audience attention.

My FREE AI OS Course: https://www.skool.com/ai-automation-society/about?el=karpathy-obsidian&hcategory=youtube-videos&utm_campaign=free-group Full courses + unlimited support: https://www.skool.com/ai-automation-society-plus/about?el=karpathy-obsidian&hcategory=youtube-videos&utm_campaign=ais-plus Apply for my YT podcast: https://podcast.nateherk.com/apply Work with me: https://uppitai.com/ My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting Karpathy's idea gist: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f AI 2027 article: https://ai-2027.com/ Andrej Karpathy just shared his method for building LLM-powered knowledge bases using nothing but markdown files and Claude Code. In this video, I walk you through exactly how to set it up in about 5 minutes using Obsidian as a front end. I also show you two of my own wikis, one for YouTube transcripts and one for my personal second brain, and break down how this compares to traditional semantic search RAG. Sponsorship Inquiries: 📧 [email protected] Connect with me: https://www.linkedin.com/in/nateherkelman/ https://x.com/nateherk https://www.instagram.com/nateherk/ TIMESTAMPS 0:00 What We're Building 1:40 Karpathy's LLM Wiki Idea 3:12 Why It Matters & How It Works 5:39 Setting Up Obsidian & Claude Code 8:35 Ingesting Your First Article 13:02 Querying & Connecting Projects 15:36 LLM Wiki vs Traditional RAG 17:20 Final Thoughts

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